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Abstract

A new framework is presented for identifying objects in multi-viewpoint imagery. By applying fractal sampling to scene and satellite imagery, chromatic complexity of random texture is extracted and adapted for multiviewpoint association. The feasibility of the framework is investigated through experimental studies. 1 Introductory Remarks Since pioneering studies [2] up to today’s statistics concerning traffic accidents, it has been estimated that decision support ‘one second ’ prior to the critical situation is enough for humans to evade 90 % of fatalities. Noticing this, the scope of intelligent vehicle system has been expanded from autonomous control to interactive support of human anticipative capabilities [14]. Dynamic analysis